CN102279424A - Early warning system for power grid meteorological disaster - Google Patents
Early warning system for power grid meteorological disaster Download PDFInfo
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- CN102279424A CN102279424A CN2011101238969A CN201110123896A CN102279424A CN 102279424 A CN102279424 A CN 102279424A CN 2011101238969 A CN2011101238969 A CN 2011101238969A CN 201110123896 A CN201110123896 A CN 201110123896A CN 102279424 A CN102279424 A CN 102279424A
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Abstract
The invention relates to a computer control system, in particular to an early warning system for a power grid meteorological disaster. The early warning system is structurally characterized by comprising a Doppler radar, a radar data processing device, a radar data recognition device, a latitude and longitude sampling device, a power grid GIS (Geographic Information System) and a short time forecasting device. The invention has the advantages that: organic integration of regional information and disaster information is realized on Doppler radar data and the power grid GIS system, so that the meteorological condition of a set region can be seen intuitively in the power grid GIS system, short-term forecasting information of a corresponding condition is obtained, power grid equipment and a running state which are possibly influenced by the meteorological disaster are protected, an important early warning effect is achieved, the influence of the meteorological disaster on the power grid equipment and running is reduced, important decision basis is provided for comprehensive precaution or preparedness against natural calamities, the disaster monitoring, disaster early warning, disaster preventing, disaster dealing and disaster treating capabilities of the power grid are remarkably enhanced, and the safe running level of the power grid is raised.
Description
Technical field
The present invention relates to a kind of computer control system, particularly a kind of electrical network meteorological disaster early warning system.
Background technology
Meteorological disaster is very outstanding to the threat of power network safety operation, in the prior art, the public meteorological service system of country provides monitoring conditions such as weather satellite, radar Doppler, lightning monitoring, but the region of meteorological disaster is strong, judgement time is short, and its degree of strength, influence time, coverage are also variant to the influence of grid equipment, operation etc.Weather information is as the independent information in the network system, do not combine with electrical network Geographic Information System (being called for short GIS), obtained weather information often, but can't be related with corresponding network system, also just can not in time, accurately obtain the influence that meteorological disaster is brought the concrete equipment of electrical network and operation, make meteorological early warning to electrical network not have due effect, efficient is low, can only be the corresponding measure of just taking after meteorological disaster takes place.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art part and a kind of electrical network meteorological disaster early warning system based on GIS that can obtain meteorological disaster to electric network influencing information in real time is provided.
The present invention is achieved through the following channels:
Electrical network meteorological disaster early warning system, its structural feature are, include radar Doppler, radar data treating apparatus, radar data recognition device, longitude and latitude sampler, power grid GIS system and Short-term Forecast device; Wherein the data output end of radar Doppler is connected with the radar data treating apparatus, the output interface of radar data treating apparatus is connected with the radar data recognition device, the sampling end of longitude and latitude sampler is connected with the radar data recognition device, output terminal is connected with the power grid GIS system, and the Short-term Forecast device is installed in the power grid GIS system.
In meteorological system, radar Doppler is a kind of real-time aerological sounding device, and it has very strong monitoring capability to diastrous weather, and the maximum detectable range radius is 460km.In the electrical network meteorological disaster early warning system of the present invention, need provide real time data by all radar Dopplers in certain territorial scope, this real time data is the radar weather chart, or the meteorological picture mosaic of a plurality of radar Doppler:
At first the radar data treating apparatus carries out pre-service to all data that radar Doppler provided, and removes noise, clutter, carries out Filtering Processing, makes that weather chart or picture mosaic can more directly perceived and simplification; The radar data recognition device extracts the reflection factor of handling radar return in the radar data of back, after calculating, master meter contrast with the weather attribute, the meteorological attribute in each zone in the identification weather chart, and provide each meteorology regional meteorological attribute, weather data and positional information send the longitude and latitude sampler to, the positional information of longitude and latitude sampler sampling radar Doppler, and be sent in the power grid GIS system, weather chart is added in the power grid GIS, the Short-term Forecast device is according to the meteorological attribute and the weather data in each zone in the weather chart, extract the operation information in the electrical network, facility information, provide the interior weather forecast data in short-term in zone according to weather information at last,, give the in short-term disaster early-warning information of weather forecast operation power equipment in case disaster information appears in forecast.
The present invention handles the radar Doppler data, and realize the organic combination of ground domain information and disaster information with the power grid GIS system, like this, just can in the power grid GIS system, see the meteorological condition in the setting regions intuitively, obtain the forecast information that (refers generally to 30 minutes-60 minutes) in short-term of corresponding situation, thereby obtain the quality time that meteorological disaster took place preceding 30 minutes-60 minutes, and can be according to the Short-term Forecast information strategy of handling it rapidly, the grid equipment and the running status that influenced by meteorological disaster are carried out protective treatment, play the vital role of early warning, reduce the influence that grid equipment and operation are subjected to meteorological disaster, commander provides important decision-making foundation for the decision-making of synthetic disaster prevention, significantly strengthen the disaster monitoring of electrical network, disaster alarm, disaster prevention, disaster reply and disaster regulation ability improve the electric power netting safe running level.
The present invention can further be specially:
The radar data treating apparatus includes the denoising device and the filter processing of connection, the data receiver of denoising device is connected with the data transmission terminal of radar Doppler, output terminal is connected with filter processing, and the output interface of filter processing is connected with the radar data recognition device.
The denoising device is the scanning radar real time data at first, and sets in advance size and the interim threshold values that is communicated with block, when the region area that scans less than data are set, then remove this zone, can remove most isolated noise like this.
Filter processing comprises medium filtering device and opening and closing operation filter.
Medium filtering is a kind of non-linear, digital filtering technique, and through being usually used in removing the noise in the image, this design philosophy is exactly to check the sampling in the input signal and judge whether it has represented signal, uses odd number to adopt the view window of forming to realize this function.Numerical value in the view window sorts, be positioned at the middle intermediate value of view window as output, abandon value the earliest then, obtain new employing, computation process above repeating, can preserve each regional local edge in the weather chart like this, making has the feature that does not lose radar return by the radar data edge-smoothing.
Opening and closing operation is mainly utilized mathematical morphology, and its fundamental operation has 4, and the corrosion after expansion is called out earlier, and opening operation can be removed isolated point, burr and foot bridge (point that promptly is communicated with two zones), and total position and shape invariance.Elder generation's expansion post-etching is called and closes, and closed operation can make the place of fracture be made up and fill and lead up, and make gap up, and total position and shape invariance can at utmost keep the original detection information of radar like this, is convenient to computing again.
The radar data recognition device can further be specially:
The radar data recognition device includes edge detecting device, edge feature point extraction element and the calculation processing apparatus that connects in regular turn.
Edge detecting device includes binary conversion treatment module and threshold module, the weather attribute reflectivity threshold values of threshold module for setting, and the binary conversion treatment module is carried out binaryzation according to the threshold values that threshold module provides to the radar weather chart, and former figure is calculated in output; This edge detecting device is that nationality erosion algorithm, with the structural element of N * N former figure is corroded, and the image that deducts corrosion with original image obtains edge contour and forms again.
The concrete steps of erosion algorithm are: the reflectivity threshold values of at first determining the weather attribute, according to threshold values the radar weather chart is carried out binaryzation then, form and calculate former figure, the corrosion structure element is got the stain piece of N * N, corrosion makes image boundary reduce by a pixel along periphery, therefore rim detection uses the structural element of N * N that former figure is corroded exactly, deducts the image of corrosion again with original image, just obtains edge contour.Because the image border width that this detection method detects only is a pixel, therefore have high orientation precision, simultaneously, the image after the binary conversion treatment has complete profile, has continuity so profile extracts detected edge.
Edge feature point extraction element is that a kind of pixel is followed the tracks of extraction module, include the initial pixel module, store in this initial pixel module the binaryzation figure is scanned the pixel of resulting first image value for " very ", the Edge Gradient Feature device is that nationality employing " N-neighbour " and followed the tracks of the traversal form and 8 directions of initial pixel are followed the tracks of to find second pixel be current pixel, adopting " N-neighbour " to follow the tracks of the traversal form more equally follows the tracks of current pixel point, so repeatedly, identical with initial pixel or traveled through up to current pixel, obtain a border segment and form.
When adopting " N-neighbour " tracking traversal form that pixel is followed the tracks of, preferably always selecting rightmost or leftmost pixel is the gained pixel, must find next boundary pixel point so in one direction.
The radar data recognition device also includes edge feature point simplification device, and it is plugged between edge feature point extraction element and the calculation processing apparatus, and this edge feature point simplification device is that nationality employing iteration curvature relative method minimizing boundary characteristic point and composition.
The unique point enormous amount that is obtained by edge feature point extraction element, and the communication between from the radar Doppler to the power grid GIS is difficult to satisfy the transmission of this mass data, transmission speed is slow, the time of Short-term Forecast is limited greatly, therefore need simplify the edge unique point, extract tens unique points from a large amount of feature dibblings and describe graph outline, both kept the essential characteristic of original shape, simplify its unique point again greatly.
Binary image after above-mentioned identification is handled presents with a kind of form of data, so transmit easily and handle, is the realization basis that the radar Doppler data are combined with the power grid GIS system.Edge detecting device, edge feature point extraction element and edge feature point simplification device then are the technical scheme to be solved one big technical barriers that the radar Doppler data are combined with the power grid GIS system, edge feature point simplification device particularly, this is because in meteorology is handled, often need raw data, data are many more, then degree of accuracy is also just high more, the forecast that obtains is also just accurate more, so also be to keep legacy data again and again in data handling procedure, cause research and development to be had reached an impasse, the present inventor breaks through routine, simplified characteristic point data, find that the forecast result error is little, but solved data transmission and mass data processing speed issue, thereby also be of the present invention one innovation greatly.
Binary image after calculation processing apparatus is handled according to edge detecting device and edge feature point extraction element calculates, and discerns according to the meteorological attribute list of radar identification then, determines the weather attribute.
The present invention can also further be specially:
The Short-term Forecast device includes the radar return calculation element that connects in regular turn, non-precipitation echo recognition device and extrapolation predictor.
The radar weather chart data in a time interval before and after the radar return calculation element receives, the radar data zone is divided by feature, according to the maximum correlation coefficient of front and back moment data area, determine the motion vector of radar return, thereby obtain cross-correlation data.
Non-precipitation echo has atural object, the closely influence of echo such as steam, wave, and non-precipitation echo recognition device is used for identification and rejects these echoes.
The extrapolation predictor is according to weather attribute subregion, and computing machine all cross-correlation data in should the zone, and calculate and on average obtain the resolute of extrapolating are extrapolated according to vector, finally obtains closing on the objective forecast result in short-term in 1 hour.
The present invention can also further be specially:
Also include radar data calibration equipment and standard apparatus, the radar data calibration equipment is plugged between radar data treating apparatus and the radar data recognition device, the standard apparatus receiving end is connected with automatic weather station, and data terminal is connected with the reference edge of radar data calibration equipment.
The radar data calibration equipment can carry out verification to the weather data after handling, and the direct weather data that provides according to automatic weather station contrasts as reference data and radar Doppler data, with verification radar Doppler data, prevents wrong report, improves accuracy rate.
In sum, the invention provides a kind of electrical network meteorological disaster early warning system, organic combination with radar Doppler data and power grid GIS system realization ground domain information and disaster information, can in the power grid GIS system, see the meteorological condition in the setting regions intuitively, obtain the forecast information that (refers generally to 30 minutes-60 minutes) in short-term of corresponding situation, and can be according to the Short-term Forecast information strategy of handling it rapidly, the grid equipment and the running status that influenced by meteorological disaster are carried out protective treatment, play the vital role of early warning, reduce the influence that grid equipment and operation are subjected to meteorological disaster, commander provides important decision-making foundation for the decision-making of synthetic disaster prevention, significantly strengthen the disaster monitoring of electrical network, disaster alarm, disaster prevention, disaster reply and disaster regulation ability improve the electric power netting safe running level.
Description of drawings
Figure 1 shows that the theory structure synoptic diagram of electrical network meteorological disaster early warning system of the present invention;
Below in conjunction with accompanying drawing the present invention is described further.
Embodiment
Most preferred embodiment:
With reference to accompanying drawing 1, electrical network meteorological disaster early warning system includes radar Doppler, radar data treating apparatus, radar data recognition device, radar data calibration equipment, standard apparatus, longitude and latitude sampler, power grid GIS system and Short-term Forecast device; Wherein the data output end of radar Doppler is connected with the radar data treating apparatus, the output interface of radar data treating apparatus is connected with the radar data recognition device, the receiving end of radar data calibration equipment is connected with the radar data recognition device, the sampling end of longitude and latitude sampler is connected with the radar data calibration equipment, output terminal is connected with the power grid GIS system, and the Short-term Forecast device is installed in the power grid GIS system.Wherein:
The radar data treating apparatus includes the denoising device and the filter processing of connection, the data receiver of denoising device is connected with the data transmission terminal of radar Doppler, output terminal is connected with filter processing, and the output interface of filter processing is connected with the radar data recognition device;
The radar data recognition device includes edge detecting device, edge feature point extraction element, edge feature point simplification device and the calculation processing apparatus that connects in regular turn;
The Short-term Forecast device includes the radar return calculation element that connects in regular turn, non-precipitation echo recognition device and extrapolation predictor.
The workflow of above-mentioned electrical network meteorological disaster early warning system is:
Radar Doppler body flyback time is 6 minutes, if a plurality of radar stations are arranged, No. 37 products of each radar station (the combined reflected rate factor) is carried out the time coupling, carries out picture mosaic, and initial real time data is provided;
The radar data treating apparatus is handled above-mentioned real time data: remove most of isolated noise by the denoising device, carry out medium filtering and opening and closing operation filtering by filter processing, make the radar data edge-smoothing, at utmost keep the original detection information of radar, be convenient to later computing.
The radar data recognition device is extracted the characteristic point data of image border profile then by the edge contour of edge detecting device acquisition radar image by edge feature point extraction element; Simplify unique point by edge feature point simplification device afterwards, calculate by calculation processing apparatus at last, and discern meteorological attribute list according to radar and discern, determine the weather attribute;
The radar data calibration equipment carries out verification to the weather data after handling, and the direct weather data that provides according to automatic weather station contrasts as reference data and radar Doppler data, with verification radar Doppler data, prevents wrong report;
Longitude and latitude sampler each positional information of radar data of taking a sample from radar data, and being sent in the power grid GIS system is added to weather chart in the power grid GIS,
The Short-term Forecast device is according to the meteorological attribute and the weather data in each zone in the weather chart, at first determine the motion vector of radar return by the radar return calculation element, obtain cross-correlation data, reject by non-precipitation echo recognition device then atural object is arranged, echo such as steam, wave closely, extrapolate according to vector by the extrapolation predictor at last, obtain to close on the objective forecast result in short-term in 1 hour;
Power grid GIS result is according to weather report extracted operation information, facility information in the electrical network, provide the interior weather forecast data in short-term in zone according to weather information at last, in case disaster information appears in forecast, gives the in short-term disaster early-warning information of weather forecast to operation power equipment.
It is same as the prior art that the present invention does not state part.
Claims (9)
1. electrical network meteorological disaster early warning system is characterized in that, includes radar Doppler, radar data treating apparatus, radar data recognition device, longitude and latitude sampler, power grid GIS system and Short-term Forecast device; Wherein the data output end of radar Doppler is connected with the radar data treating apparatus, the output interface of radar data treating apparatus is connected with the radar data recognition device, the sampling end of longitude and latitude sampler is connected with the radar data recognition device, output terminal is connected with the power grid GIS system, and the Short-term Forecast device is installed in the power grid GIS system.
2. electrical network meteorological disaster early warning system according to claim 1, it is characterized in that, the radar data treating apparatus includes the denoising device and the filter processing of connection, the data receiver of denoising device is connected with the data transmission terminal of radar Doppler, output terminal is connected with filter processing, and the output interface of filter processing is connected with the radar data recognition device.
3. electrical network meteorological disaster early warning system according to claim 2 is characterized in that filter processing comprises medium filtering device and opening and closing operation filter.
4. electrical network meteorological disaster early warning system according to claim 1 is characterized in that, the radar data recognition device includes edge detecting device, edge feature point extraction element and the calculation processing apparatus that connects in regular turn.
5. electrical network meteorological disaster early warning system according to claim 4, it is characterized in that, edge detecting device includes binary conversion treatment module and threshold module, store the weather attribute reflectivity threshold values of setting in the threshold module, the binary conversion treatment module is carried out binaryzation according to the threshold values that provides to the radar weather chart, and former figure is calculated in output; This edge detecting device is that nationality erosion algorithm, with the structural element of N * N former figure is corroded, and the image that deducts corrosion with original image obtains edge contour and forms again.
6. electrical network meteorological disaster early warning system according to claim 4, it is characterized in that, edge feature point extraction element is that a kind of pixel is followed the tracks of extraction module, include the initial pixel module, store in this initial pixel module the binaryzation figure is scanned the pixel of resulting first image value for " very ", the Edge Gradient Feature device is that nationality employing " N-neighbour " and followed the tracks of the traversal form and 8 directions of initial pixel are followed the tracks of to find second pixel be current pixel, adopting " N-neighbour " to follow the tracks of the traversal form more equally follows the tracks of current pixel point, so repeatedly, identical with initial pixel or traveled through up to current pixel, obtain a border segment and form.
7. electrical network meteorological disaster early warning system according to claim 4, it is characterized in that, the radar data recognition device also includes edge feature point simplification device, it is plugged between edge feature point extraction element and the calculation processing apparatus, and this edge feature point simplification device is that nationality employing iteration curvature relative method minimizing boundary characteristic point and composition.
8. electrical network meteorological disaster early warning system according to claim 1 is characterized in that, the Short-term Forecast device includes the radar return calculation element that connects in regular turn, non-precipitation echo recognition device and extrapolation predictor.
9. electrical network meteorological disaster early warning system according to claim 1, it is characterized in that, also include radar data calibration equipment and standard apparatus, the radar data calibration equipment is plugged between radar data treating apparatus and the radar data recognition device, the standard apparatus receiving end is connected with automatic weather station, and data terminal is connected with the reference edge of radar data calibration equipment.
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| CN102662172A (en) * | 2012-03-29 | 2012-09-12 | 天津大学 | Stormy cloud cluster extrapolation method based on Doppler radar reflectivity image |
| CN103033855A (en) * | 2012-12-12 | 2013-04-10 | 江苏省电力公司电力科学研究院 | Grid meteorological disaster monitoring and early warning system |
| CN104050518A (en) * | 2014-07-04 | 2014-09-17 | 国家电网公司 | Power grid convection disaster-causing strong wind early warning method based on Doppler weather radar |
| CN104181535A (en) * | 2014-08-15 | 2014-12-03 | 国家电网公司 | High-wind-speed area power grid equipment query method based on Doppler radar radial wind speed |
| CN104950349A (en) * | 2014-09-04 | 2015-09-30 | 国网山东省电力公司应急管理中心 | Power-grid-GIS-based real-time early warning method and apparatus of satellite cloud picture |
| CN105512765A (en) * | 2015-12-09 | 2016-04-20 | 国网山东省电力公司应急管理中心 | Hazardous chemical substance enterprise accident electric power emergency disposition method and system based on power grid GIS |
| CN106682580A (en) * | 2016-11-21 | 2017-05-17 | 云南电网有限责任公司电力科学研究院 | Forest fire predication method and system based on power transmission line forest fire image |
| CN111125236A (en) * | 2019-12-18 | 2020-05-08 | 中国东方电气集团有限公司 | Three-dimensional dynamic information physical system based on GIS |
| CN112835965A (en) * | 2021-03-04 | 2021-05-25 | 国网安徽省电力有限公司 | Power grid equipment fault early warning method based on Doppler radar strong convection weather |
| CN113344735A (en) * | 2021-05-19 | 2021-09-03 | 南方电网数字电网研究院有限公司 | Disaster prevention and reduction monitoring and early warning system of power grid equipment |
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| CN106682580A (en) * | 2016-11-21 | 2017-05-17 | 云南电网有限责任公司电力科学研究院 | Forest fire predication method and system based on power transmission line forest fire image |
| CN111125236A (en) * | 2019-12-18 | 2020-05-08 | 中国东方电气集团有限公司 | Three-dimensional dynamic information physical system based on GIS |
| CN111125236B (en) * | 2019-12-18 | 2023-09-08 | 中国东方电气集团有限公司 | Three-dimensional dynamic information physical system based on GIS |
| CN112835965A (en) * | 2021-03-04 | 2021-05-25 | 国网安徽省电力有限公司 | Power grid equipment fault early warning method based on Doppler radar strong convection weather |
| CN113344735A (en) * | 2021-05-19 | 2021-09-03 | 南方电网数字电网研究院有限公司 | Disaster prevention and reduction monitoring and early warning system of power grid equipment |
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